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d7e921dbec9fd8b7735d97eb10a56cf98ac8dfdb
92
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
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d7e921dbec |
refactor!: rename the LSM table APIs to MemWAL
The write path these APIs drive is Lance's MemWAL, and "LSM" described its shape rather than naming it. The surface now says MemWAL, and turning it on and off reads as enabling a feature rather than installing a spec. | Before | After | |---|---| | `set_lsm_write_spec` | `enable_memwal` | | `unset_lsm_write_spec` | `disable_memwal` | | `get_lsm_write_spec` | `get_memwal_spec` | | `flush_lsm` / `compact_lsm` / `checkpoint_lsm` | `flush_memwal` / `compact_memwal` / `checkpoint_memwal` | | `get_lsm_stats` | `get_memwal_stats` | | `close_lsm_writers` | `close_memwal_writers` | | `use_lsm` (query, merge insert) | `use_memwal` | | `LsmWriteSpec` / `LsmStats` | `MemWalWriteSpec` / `MemWalStats` | | Java `LanceDbTableLsm` | `LanceDbTableMemWal` | TypeScript and Java use camelCase (`enableMemWal`, `getMemWalStats`, ...); the napi methods set `js_name` so the generated names keep the `MemWal` casing. The flush/compact/checkpoint methods keep a `_memwal` suffix so `compact_memwal` is not confused with `compact_files` and `optimize`, which compact the base table. ## Wire The remote routes and JSON envelopes move with the SDKs and must ship together with the matching server change: - `/set_lsm_write_spec/` -> `/enable_memwal/`, `/unset_lsm_write_spec/` -> `/disable_memwal/`, `/get_lsm_write_spec/` -> `/get_memwal_spec/`, `/flush_lsm/`, `/compact_lsm/`, `/get_lsm_stats/` -> `*_memwal/` - response keys `lsm_write_spec` -> `memwal_spec`, `lsm_stats` -> `memwal_stats`; query and merge-insert body field `use_lsm` -> `use_memwal` ## Also fixed The previous rename turned the Java `bucket` sharding mode into `tableShard` in the javadoc example and tests, and the test fixtures sent `tableShards` where the parser reads `table_shards`, so the Java tests did not compile. Both are restored. Internal names (`LsmMode`, `LsmScanner`, the `merge::lsm` and `query::lsm` modules) are unchanged. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> |
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d5544cd5d9 |
Merge branch 'main' into refactor/wal-naming
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> |
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3348087d09 |
fix(node): accept code as a base tokenizer (#4368)
TypeScript rejected `Index.fts({ baseTokenizer: "code" })` because the
public `BaseTokenizer` union omitted `"code"`, although the native
tokenizer already supports it.
Add `"code"` to the shared union, document its identifier behavior, and
regenerate the API reference. The regression test creates and searches a
code-tokenized FTS index with a typed configuration across Arrow
versions 15–18.
Validation:
- The regression failed before the fix with TS2322: `"code"` was not
assignable to `BaseTokenizer`.
- After the fix, all four cases pass: `pnpm test __test__/table.test.ts
--runInBand -t 'full text search code tokenizer' --verbose=false`.
- `pnpm build`, `pnpm lint`, `pnpm run docs`, and formatting of the
changed TypeScript files pass.
Fixes #4366
<!-- lance-gatekeeper-fix:v1 agent=8c37ac529cec8862bd5dbc218c5aaa8d
generation=1 -->
Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
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920b1e7bbb |
fix: align table listing pagination across backends (#4412)
Fixes #4379 Remote `table_names` discarded the continuation token after the first root-listing request, silently returning the server's default page of 10 names. Remote `list_tables` also inherited that server default, while local listings had no SDK page limit. Python's synchronous and namespace wrappers still imposed a default limit of 10 names. The namespace adapter also discarded continuation tokens, so an unlimited REST namespace listing could stop at the server's page cap. Follow server-provided root listing tokens until the requested name limit or the end of the listing, preserving `start_after`, cache population, and guards against empty or repeated tokens. The namespace adapter collects every server page, then sorts names and applies the name cursor and total limit: namespace tokens are opaque, and page order need not be name order. Empty tokens end the listing; token cycles return an error. Python sync and namespace `table_names` wrappers now default to `None`, matching the asynchronous and TypeScript APIs. Namespace overrides accept the base connection's optional limit, avoiding import-time signature errors on Python 3.10 and 3.11. Set the `list_tables` default to 100 at the shared connection boundary, including namespaces, and return empty results for a zero limit without sending an invalid server request. Update the SDK documentation to describe these defaults. `list_tables()` is now a paginated call in both modes: callers with more than 100 tables must follow the returned token or supply an explicit larger limit. `table_names()` without a limit returns every name. Namespace table-name calls enumerate the namespace before applying name cursors and limits; use `list_tables()` for paginated access. Validation: - Regression cases reproduce the original root-listing truncation and cover 130 tables, opaque tokens, short pages, explicit limits, `start_after`, and zero limits. - Relevant Rust remote database, connection, and local listing test groups: 175 passed. Namespace adapter tests: 23 passed, including opaque tokens, unordered and empty pages, name cursors, limits, zero requests, and token cycles. - Rebuilt the Python extension; namespace and local/mocked remote listing tests using `uv.lock`: 46 passed on Python 3.10 and 46 passed on Python 3.13. - REST namespace regressions reproduced the truncation before the fix and now return all 12 names from a server capped at 10 per response, for sync/async connections at root and child paths. They also cover unordered pages, name cursors, explicit limits, and zero requests. The exact Python 3.10 import error also reproduced before the optional-signature fix. - TypeScript connection test file: 38 passed; `pnpm build`, `pnpm lint`, and `pnpm run docs` passed. - `cargo check --quiet --features remote --tests --examples` and `cargo clippy --quiet --features remote --tests --examples` passed. - Rust formatting, Python Ruff formatting/lint, and diff whitespace checks passed. <!-- lance-gatekeeper-fix:v1 agent=43f92f1f05ac9ca74229af590945cb88 generation=1 --> --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> |
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de005f1d61 |
refactor!: implement lazy iterators for several APIs (#4459)
Implement lazy iterators for: - secrets - views - jobs - functions - materialized views |
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069b2f7d31 |
feat: add delete rows to table stats (#3783)
add to table stats the number of rows that has been marked for deletion, but not yet deleted. note that when a table fragment is removed due to deletion of all of its rows, these rows are not counted. since the main use of this feature is to determine when table compaction is needed, the fact that these rows are not reported should not impact that decision (deleted table fragments don't need compaction). Fixes: https://github.com/lancedb/lancedb/issues/3761 Co-authored-by: Claude Opus 5.0 <noreply@anthropic.com> |
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2bf70758a7 |
fix: read back the maintained-index selection a table was given (#4447)
`maintained_indexes` on a MemWAL table has three values: a named list, `[]` for none, and `null` for every index the table has, including ones created later. This PR makes every client read all three back as they were set. - **Rust remote client** (also used by the Python and Node SDKs) reads `null` as `None`. - **Java client** reads `null` as `null`, not as an empty list. - **Docs** for the setter, the field and the getter describe the three values the same way in Rust, Python, Node and Java. The generated JS docs are regenerated to match. ## Testing - `rust/lancedb`: 73 LSM tests pass, including one case per value. With the decoder typed as a list, the `null` case fails. - Java: two cases for `null` and `[]` on the read path, run by the Java CI job. - `cargo fmt`, `cargo clippy -D warnings` and `ruff format` are clean. |
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7e8f0d4982 |
refactor: always fully refresh materialized views (#4373)
Simplify experimental materialized views to one output-only storage
layout and one full-rebuild refresh implementation.
## Current layout
Local materialized views currently maintain incremental-refresh state
alongside the materialized values:
- an internal `__source_row_id` column for source provenance;
- `mv.definition` plus `mv.incarnation`;
- source version/timestamp, view version, and last-refresh watermarks;
- optional `mv.staging` state for table-function sources; and
- stable-row-ID requirements on the source table.
Refresh classifies source changes, appends or evicts rows when possible,
and falls back to a rebuild for unsupported deltas. Remote
create/refresh also use separate REST mutation paths.
## New layout
An MV is an ordinary Lance backing table containing only:
- the defining query's output columns;
- its current data fragments; and
- `mv.definition`, encoded as a versioned SQL envelope such as
`{"kind":"query","format":1,"query":"SELECT ..."}`.
There is no provenance column, incarnation, source/view watermark,
staging metadata, or stable-row-ID requirement. Local refresh may still
pin a source version for reproducibility, but it always recomputes the
complete result.
Full refresh streams the new result into uncommitted fragments and then
publishes a single transaction that removes every old fragment and
installs the new set. A shared conflict token prevents concurrent
replacements from both committing. This fragment-replacement primitive
is also used by Sophon's SQL worker.
## New remote create workflow
```text
Connection::create_materialized_view(...)
-> builder renders the defining SELECT
-> remote Database receives a CreateMaterializedViewRequest
-> submit CREATE MATERIALIZED VIEW ... AS ... through Flight SQL
-> retain the SQL Query handle while the Job is running
-> consume the durable SQL-job result
-> open the created table and read mv.definition
-> return MaterializedView
```
Remote refresh similarly submits `REFRESH MATERIALIZED VIEW` through
Flight SQL. Cancelling either wrapper forwards cancellation to the
retained SQL query before aborting the local task, so the server
operation is not silently left running.
## API changes
- remove incremental/no-op modes and the `full` switch;
- remove distributed grouped/partitioned refresh APIs and native
vector-source MV APIs;
- keep full-refresh results across Rust, Python, and TypeScript;
- preserve list/describe/drop as object-management operations while
routing create/refresh mutations through SQL.
The storage contract is experimental and has no compatibility shim;
views using the removed layout must be recreated.
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d864e7198f |
feat!: list_databases returns an iterator (#4442)
CatalogConnection.list_databases should return an iterator so that users don't have to manually re-implement pagination. For those who do want more control over pagination, add num_page_results and page_token to the Iterator object, and also allow the iterator object to be created at a specific page token. |
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2734e10767 |
fix(node): update arrow to 21 (#4362)
Thanks @vincentkoc for starting this! I was just looking into this myself. I started with your PR and added: - make arrow 21 the default - widen the peer range to <22 so if they release 21.3 that'll be included - have to do skipLibCheck in tsconfig.json, because of flatbuffers 25 which needs TypeScript 5.7 - fix override in Symbol.hasInstance - support new types in Arrow 20-21 (LargeList, Utf8View, BinaryView, IntervalMonthDayNano) - arrow-compat job in nodejs.yml that runs tests with arrow 19 and 20 (adds 2 sec) - put the list of arrow types in one place - update NODEJS_THIRD_PARTY_LICENSES.md - regenerated typescript docs (sorry about reorderings, one time cost) - reformat arrow.test.ts (sorry, almost all whitespace, thanks to biome. git diff -w shows 110 lines edited) - fixed Sliced Utf8View / BinaryView serialization error, by just converting them to Utf8 and Binary (as our rust code would anyway) --------- Co-authored-by: Vincent Koc <vincentkoc@ieee.org> Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com> |
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ef11e44adc |
feat(node): expose allowExternalBlobOutsideBases in Table.add (#4317)
## Summary - Add `allowExternalBlobOutsideBases` to the Node `AddDataOptions` and forward it through N-API to the Rust `AddDataBuilder`. - Document its default and local-only external blob behavior. - Cover URI strings and URI objects, option scoping, progress callbacks, overwrite mode, and remote rejection. ## Validation - `pnpm test --runInBand` (21 suites passed, 1 skipped; 908 tests passed, 6 skipped) - `pnpm lint-ci` - `pnpm tsc` - `pnpm run docs` - `cargo fmt --all -- --check` - `CC=clang cargo clippy --profile ci -p lancedb-nodejs --all-features -- -D warnings` Fixes #4267 |
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8541d6d9df |
feat: add view CRUD APIs (#4236)
A view is a named query a database stores and plans on every read. It
holds no rows, which is the whole difference from a materialized view.
## API
| Verb | Route |
| --- | --- |
| `create_view(name, query, namespace_path)` | `POST
/v1/view/{id}/create` |
| `describe_view(name, namespace_path)` | `POST /v1/view/{id}/describe`
|
| `drop_view(name, namespace_path)` | `POST /v1/view/{id}/drop` |
| `list_views(namespace_path)` | `GET /v1/namespace/{id}/view/list` |
On `Connection` and the `Database` trait, with the remote client, Python
(sync and async) and Node bindings. Local databases return
`NotSupported`: the server side is Sophon's, where a view is an object
of the database manifest.
`ViewDescription` carries the defining query, the database *and
namespace path* unqualified names in it resolve against, and the schema
the query resolved to. `create_view` returns one, so a caller has the
schema without a second call.
Both defaults travel with the view because it outlives the session that
declared it: the server re-plans the stored query on every read, so a
reader resolving an unqualified name against its own defaults would read
a different table. `default_namespace_path` crosses the wire as
`default_namespace`, a path like `namespace`, absent for the root.
There is no replace: a name already taken is an error, and changing a
view is a drop followed by a create, each authorized against what it
actually touches.
Querying a view stays SQL's job. There are no rows behind a view, so
there is no `open_view` returning a `Table`.
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254688df96 |
feat: group a materialized view by GROUP BY (#4222)
A view could only map source rows one to one, or one to many through a FROM-position item, so nothing could see all the rows sharing a key. A view query now takes `GROUP BY expr, ...` with aggregate projections, planned and executed by DataFusion over the lance scan. A group spans fragments, so a grouped view is recomputed in full whenever its source changes; each row's provenance is its group's smallest source row id. Such a query is stored as definition format 2, so a reader that predates grouping reports the view as unrefreshable instead of failing to parse it. Stacked on #4190. |
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01ee01dbc8 |
feat: define a materialized view by its query, with Functions in FROM position (#4190)
A view definition was a structured record under a `kind` tag, one kind per query shape, and a Function returning `list<struct>` was about to add a third. That names shapes instead of describing a relation. A materialized view is now a relation defined by a query, stored as one canonical SQL string under a format number: ```sql SELECT columns FROM [ns.]table [, function(args) AS alias | , UNNEST(column) AS alias] [WHERE predicate] [LIMIT n] ``` Any other clause is refused at parse time. Older readers report the view as unrefreshable, the pre-format layouts still read, and a legacy view is rewritten on its next refresh that commits, rebuilt only where its raw text meant something else under lance's parser. A Function in FROM position yields one row per element it returns, as a table function does in any dialect. The server stages its list output in a hidden table and records that binding beside the query, which stays as the user wrote it; refresh scans the staging and unnests the column, the same operator as UNNEST over a list column the table already holds. Row ids repeat per element, so eviction and incremental append are unchanged. A local database refuses a Function in FROM position, since it has no executor. |
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5231d37f8d |
feat: list a table's per-row Function errors from the client (#4208)
A refresh running under a skip policy records each row it skipped, with the failing input and the error, but the client could not read that store: the server exposes it over SQL and, since recently, a REST route. A user who hit per-row failures still had to open a SQL session. `Table::function_errors` calls the route. The listing is table-addressed with optional job and column filters, the same addressing the SQL surface uses, so the two cannot disagree about what a table's errors are. The two non-record signals come back as their own fields rather than as rows: capped-fragment summaries, and whether the listing stopped at its limit. Local tables refuse rather than answer with an empty list. Python and Node expose the same call, with the same optional filters. |
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60a1b4c219 |
feat(secrets): named Secrets, bindings, and namespace addressing (#4150)
Adds the client half of database-scoped named Secrets: a Secret is a
name and
an opaque value stored by the service, and a Function binds one to the
environment variable its library already reads. Secrets are addressed by
a
namespace path plus a name.
The UDF body is unchanged and stays portable — it reads `OPENAI_API_KEY`
the
way it always did, and the binding is what puts a value there:
```python
db.create_secret("openai-prod", os.environ["OPENAI_API_KEY"])
function = db.create_function(
analyze_caption,
secrets=[
EnvVarSecret(secret_name="openai-prod", env_variable="OPENAI_API_KEY")
],
)
function.secret_bindings # the Secret's name, never its value
```
- `create_secret` / `alter_secret` / `list_secrets` / `describe_secret`
/
`drop_secret` on sync, async and remote connections, with the pyo3
binding
and the Rust client behind them. Each takes `namespace_path`
keyword-only,
defaulting to the root.
- **There is no read API, by construction rather than by policy** — no
code
path returns a stored credential, and `describe_secret` answers with
metadata only.
- `EnvVarSecret` is a pure local constructor: it contacts no server, so
it
cannot fail on a Secret that does not exist. It exists so that a bare
string
in that position — which would be a credential — is a `TypeError` rather
than a plausible-looking mistake that reads identically in a diff.
- `create_function(..., secrets=[...])` carries the bindings as
`secret_bindings`: a list of `SecretBinding` tagged by `kind`, so a
later
delivery mode is a variant rather than a sibling field. The value never
travels — it is resolved by the service when the Function runs, which is
what
lets a rotation reach columns already pinned to an older
FunctionVersion.
- A binding names its Secret as a `SecretReference` of `{name,
namespace_path}`
rather than one joined string, so no delimiter has to be excluded from
every
name and segment forever, and `ClientConfig.id_delimiter` cannot
contradict
an identity built on a fixed separator.
- A root namespace is omitted from the request body rather than sent
empty, so
a root request is byte-identical to one from a client that predates
namespaces. Tests pin it.
This is the client surface the design's §4 describes; the service side
lives in
sophon.
**Previously split across two PRs.** Namespace addressing was #4151,
stacked on
this one; it is folded in here so the Secret identity contract — name,
namespace path, and the binding that carries both — is reviewable as one
piece
rather than as a shape introduced and then replaced.
## Identifier safety, merged from #4189
**#4189 is merged into this branch**, so the client half of Secrets and
the
guards on the identity it puts in the URL are one PR. What it added:
- Components are checked where the identifier is built, before a request
is
constructed. `create_secret("../jobs", value)` no longer resolves to
`/v1/jobs/create` and delivers a credential-bearing body to a route with
none
of this one's body suppression.
- Each component is percent-encoded and joined by the delimiter, so
nothing
inside a component can end the path segment or add one.
- A component may not be empty, a relative segment (`.`, `..`, and their
`%2e`
spellings), or the delimiter itself — the three ways a component erases
a
boundary the split has to recover. `["prod", ""]` joined to `prod$`,
which
reads back as `["prod"]`.
- `$` is the only accepted `id_delimiter`, refused at client
construction.
`ClientConfig.id_delimiter` remains, since the identifier grammar comes
from
the Lance REST catalog standard, but a value that would produce
identifiers no
service splits the caller's way is now an error where it was written.
- One `build_object_identifier` and one character set serve tables,
namespaces,
Secrets, Functions and materialized views.
Components are checked for *addressability*, not a character set: the
name's
own grammar stays each object's own, so a catalog database keeps the `/`
that
`RemoteCatalog::validate_name` allows.
## Known shortcoming
`secret_bindings` is omitted from a registration body when empty, so a
client
that binds nothing sends what a client without bindings sends. When a
client
does bind a Secret and the service does not know the field, the field is
ignored: registration succeeds, the returned version carries no
bindings, and
the Function fails at execution with the variable unset, far from the
call that
asked for it.
`ServerVersion` is how this codebase refuses a feature the service is
too old
for, and it gates five features already. It does not gate this one: it
is held
per table, and registering a Function is a database-level call. Noted at
the
field in `remote/db.rs`; wiring the gate is follow-up work.
**Tests:** lancedb lib 1340 passed, `first_class_function_slice1` 9,
`first_class_function_slice2` 3, plus Python tests across both slices.
Rebased onto `main` after #4176 (OCI Function identity), #4191 (`.`/`..`
table
names) and #4195 (remote catalogs).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
https://claude.ai/code/session_01UfmeJ533rQDnPBkMtjerV6
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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6a07f88980 |
feat: add remote catalogs and Python and TypeScript bindings (#4195)
Add a `Catalog` trait and `RemoteCatalog` for managing databases,
exposed through Rust, synchronous/asynchronous Python, and TypeScript. A
remote catalog represents the server's root namespace, and each database
is one child namespace. Create/connect return ordinary LanceDB
connections, so existing table APIs work unchanged.
## Rust API
`Catalog` is an object-safe async trait with `create_database`,
`connect_database`, `list_databases`, and `drop_database`. Backend
create/connect methods return `Arc<dyn Database>`; the public
`CatalogConnection` wraps them as `Connection` values and shares its
embedding registry with those connections. `RemoteCatalog` implements
the trait; `connect_catalog` is the convenience builder, available with
the `remote` feature.
```rust
use lancedb::catalog::{
CreateDatabaseRequest, DropDatabaseRequest, ListDatabasesRequest,
};
let catalog = lancedb::connect_catalog("https://my-server.example")
.api_key("my-api-key")
.execute()
.await?;
let db = catalog.create_database(
CreateDatabaseRequest::new("analytics").exist_ok(true),
).await?;
let connected = catalog.connect_database("analytics").await?;
let page = catalog.list_databases(
ListDatabasesRequest::default().limit(20),
).await?;
// page.databases: Vec<String>; page.page_token: Option<String>
catalog.drop_database(
DropDatabaseRequest::new("analytics").ignore_missing(true),
).await?;
```
Create/drop also accept a plain name for default behavior, e.g.
`catalog.create_database("analytics").await?`. Existing names fail
creation unless `exist_ok` is enabled; missing names fail drop unless
`ignore_missing` is enabled. Drop always requires an empty database.
## Python API
```python
import lancedb
catalog = lancedb.connect_catalog(
"https://my-server.example", api_key="my-api-key"
)
db = catalog.create_database("analytics", exist_ok=True)
connected = catalog.connect_database("analytics")
page = catalog.list_databases(limit=20)
# page.databases: list[str]; page.page_token: Optional[str]
if page.page_token is not None:
next_page = catalog.list_databases(limit=20, page_token=page.page_token)
catalog.drop_database("analytics", ignore_missing=True)
```
`connect_catalog` returns `Catalog`; create/connect return the existing
`DBConnection` API. The async equivalent is `catalog = await
lancedb.connect_catalog_async(...)`, returning `AsyncCatalog`; await
each of the same four methods, with create/connect returning
`AsyncConnection`.
## TypeScript API
```typescript
import { connectCatalog } from "@lancedb/lancedb";
const catalog = await connectCatalog("https://my-server.example", {
apiKey: "my-api-key",
});
const db = await catalog.createDatabase("analytics", { existOk: true });
const connected = await catalog.connectDatabase("analytics");
const page = await catalog.listDatabases({ limit: 20 });
// page.databases: string[]; page.pageToken?: string
if (page.pageToken !== undefined) {
const nextPage = await catalog.listDatabases({
limit: 20, pageToken: page.pageToken,
});
}
await catalog.dropDatabase("analytics", { ignoreMissing: true });
```
Create/connect return the existing `Connection` API. All four methods
are asynchronous.
## REST mapping
All paths below are relative to the catalog endpoint. `{name}` is the
logical database name encoded as one URL path component. The default
namespace delimiter is `$`, so the root identifier is encoded as `%24`.
| Catalog operation | Existing REST route | Request |
| --- | --- | --- |
| `create_database(name)` | `POST /v1/namespace/{name}/create` |
`{"mode":"Create"}`; `exist_ok=true` sends `{"mode":"ExistOk"}` |
| `connect_database(name)` | `POST /v1/namespace/{name}/describe` |
`{}`; verifies existence before returning a scoped connection |
| `list_databases(...)` | `GET /v1/namespace/%24/list` | Optional
`limit` and `page_token` query parameters |
| `drop_database(name)` | `POST /v1/namespace/{name}/drop` |
`{"mode":"Fail","behavior":"Restrict"}`; `ignore_missing=true` changes
mode to `"Skip"` |
For example, database `team/search` uses
`/v1/namespace/team%2Fsearch/create`. A paginated root listing can use
`/v1/namespace/%24/list?limit=20&page_token=a%2Fb`. The list response
retains the existing namespace wire shape,
`{"namespaces":["analytics"],"page_token":"next"}`; the SDK exposes
`namespaces` as `databases` and preserves the opaque continuation token.
An absent or empty token ends pagination. Page limits must be between 1
and 2147483647. Create/drop accept a namespace JSON response or HTTP
204.
Catalog management requests omit both `x-lancedb-database` and
`x-lancedb-database-prefix`, including values supplied through static or
dynamic headers. Returned database connections set `x-lancedb-database`
to the exact logical name and keep independent scope. API keys, OAuth or
dynamic authentication, client settings, table read consistency
settings, and an optional SQL endpoint override carry over to those
connections. OAuth cannot be combined with an API key or a custom header
provider.
For SQL through an HTTPS catalog, configure the existing SQL endpoint
contract with Rust
`.sql_host_override("grpc+tls://sql.example.com:10026")` or Python
`sql_host_override="grpc+tls://sql.example.com:10026"`. TypeScript
catalog options expose the same setting as `sqlHostOverride`. It is
inherited by created/connected databases, retained by Python connection
serialization, and initialized lazily when SQL is executed.
Create HTTP 409 maps to `DatabaseAlreadyExists`; connect/drop HTTP 404
maps to `DatabaseNotFound`, except that `ignore_missing` suppresses a
missing-database drop. Other server errors propagate. The server
enforces restricted deletion; the client never requests cascading
deletion.
Database names preserve literal slashes as part of one name. They must
be nonempty ASCII, with no control characters, surrounding whitespace,
or configured namespace delimiter, and cannot be `.` or `..`. Endpoints
must be HTTP(S) URLs without embedded credentials, query parameters, or
fragments.
## Scope
This PR adds the client API and reuses existing namespace endpoints.
Local catalogs, `__catalog` storage, location generation/sanitization,
and `__manifest` lifecycle support remain deferred; the Lance dependency
is unchanged.
The PR also runs macOS Node tests serially to avoid existing
resource-contention timeouts reproduced across recent main runs.
---------
Co-authored-by: Xuanwo <github@xuanwo.io>
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f3ef21b8ca |
feat: use oauth2 crate for OAuth with configurable client auth (#4181)
Stacked on #4173 (`jack/restore-oidc-flows`, base branch mirrored to this repo so the diff shows only this change); context from review: https://github.com/lancedb/lancedb/pull/4173#issuecomment-5674048100. Rebase to `main` once #4173 and #4179 merge. ## What moved to the `oauth2` crate (5.0, no default features) - Authorization URL generation and CSRF state (`authorize_url`, `CsrfToken`) - PKCE S256 challenge/verifier generation and code exchange - Client-credentials, authorization-code, refresh-token, and device-code grant request construction - Device authorization request and the device token polling loop (`authorization_pending`, `slow_down` +5s, expiry deadline, denial, network backoff capped at 10s) - Standard success/error response parsing (`RequestTokenError`) - Token-endpoint client authentication and standards-compliant parameter encoding (RFC 6749 2.3.1 Basic encoding) LanceDB keeps ownership of OIDC discovery (compared `openidconnect`: no measurable win for our 3-field metadata + strict validation, at real dependency cost), HTTPS-or-loopback endpoint enforcement, the loopback callback server, browser/stderr prompts, token caching and refresh orchestration, and the dedicated hardened Azure IMDS source, which is unchanged. ## Client authentication methods New `ClientAuthMethod` enum (`none` | `client_secret_basic` | `client_secret_post`), exposed in Rust, Python, and Node. Unset resolves to `client_secret_basic` when a secret is present (RFC 6749 2.3.1 recommendation and the normal Okta confidential-app default, so a default Okta app works without weakening its configuration) and to `none` for public clients (PKCE/device). Explicit `none` with a secret, or basic/post without one, is rejected. The method applies to client credentials, code exchange, refresh, and device requests. Deliberate behavior change: confidential clients previously always sent the secret in the POST body; they now default to Basic (Keycloak accepts both). No `audience`/`resource` parameters were added: the supported target is an Okta custom authorization server with the API audience configured server-side, so client-provided audience parameters are unnecessary; `add_extra_param` support exists if a concrete provider contract ever needs them. ## Device polling behavior changes (deliberate, tested) - The first token poll now happens immediately rather than after one interval (RFC 8628 allows both). - Transient failures (HTTP 429, 5xx, `temporarily_unavailable`, network errors) now retry with exponential backoff capped at 10s instead of retrying at the fixed interval; polling never spins faster than once per second even if a server reports a zero interval. ## Security and compatibility - Issuer and discovered endpoints (and device verification URIs) still require HTTPS except explicit loopback HTTP, enforced before any crate URL type is built - Token HTTP client keeps the hardened redirect policy that refuses insecure redirect targets; regression test added - Errors never embed raw response bodies (avoids leaking tokens through parse failures); all credential types stay redacted in Debug - Transient conditions (429/5xx/`temporarily_unavailable`) remain retryable in device polling and hard errors elsewhere; refresh keeps rotation and reauthentication semantics - Existing public APIs stay source-compatible except the added `OAuthConfig.client_auth_method` field ## Tests Rust: client-auth methods across code exchange/refresh/client-credentials/device (none/basic/post), auth-method resolution and validation, transient device retries, denial/expiry, redirect rejection, malformed-response leak check, PKCE URL assertions, redaction. Python and Node: enum values, conversion, unknown-method errors, config defaults. Manual Okta validation recipe (no automated Okta credentials): create a custom authorization server with an API audience, one confidential web app (Basic) for authorization-code, one native app (PKCE, no secret), one native device app; point `issuer_url` at the custom server, set `client_auth_method` only for the POST-required case; verify token acquisition, refresh after expiry, and `x-lancedb-credential-type: oidc` against a LanceDB deployment. Never commit tenant URLs or secrets. Co-authored-by: Xuanwo <github@xuanwo.io> |
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3a1d3be256 |
feat(oidc): support resource and audience (#4193)
Support configuring resource and audience for OAuth authorization, token exchange, and refresh requests. |
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2f88b71c21 |
feat: add persistent OAuth token cache and session APIs (#4182)
Stacked on #4173 (diff includes it until that merges; will rebase after). Addresses the token-cache part of [Colin's review](https://github.com/lancedb/lancedb/pull/4173#issuecomment-5674048100). Adds an explicit, opt-in persistent OAuth token cache shared by Rust, Python, and Node clients, plus `login` / `status` / `logout` session APIs, so short-lived processes (CLIs, scripts, notebooks) reuse one session instead of restarting a browser or device flow on every start. - **Opt-in and minimal**: existing callers stay memory-only and lazy. Only refresh tokens are persisted (never access tokens, never client secrets), so there are no local token-expiry decisions to get wrong when clocks move. Each process start performs one silent refresh grant. - **Hardened file backend**: private directory (`0700`), per-record files (`0600`), owner validation, symlink rejection, and atomic `rename` replacement. Corrupt, truncated, unknown-version, or permission-invalid records fail with actionable errors naming the file. Native keyring backends were evaluated (keyring crate routes Linux through D-Bus/zbus: heavy deps, headless/CI flakiness) and are deferred; the file store is the explicit opt-in, not a downgrade from a keyring. - **Cache key**: SHA-256 of the canonical identity (issuer, client ID, sorted/de-duplicated scopes, flow, public/confidential), so no secret appears in a filename and distinct identities never collide. Versioned record schema (`version: 1`). One record per identity: last login wins, documented. - **Cross-process rotation locking**: per-key `fs4` file lock (`flock` / `LockFileEx`) around the refresh critical section — acquire, reread the durable record, refresh exactly once, atomically store the rotated refresh token, release. The OS releases locks on process death, so crashes cannot strand stale locks. Only confirmed `invalid_grant`/`invalid_token` deletes a record and reauthenticates; transport, 5xx, 429, and parse failures retain it. - **Session APIs**: `OAuthSession::login/status/logout` in Rust, `lancedb.remote.OAuthSession` (async) in Python, `OAuthSession` class in Node. `status` returns non-secret metadata only. `logout` removes only the local credential — provider revocation (RFC 7009) is a deliberate follow-up, and local logout never terminates browser SSO. Azure managed identity is rejected for persistence (machine identity stays in memory); client credentials have nothing refreshable to persist and stay memory-only. - No CLI binary exists in this repo, so this ships library APIs plus doc examples in all three languages. Tests: Rust unit + mock-IdP integration (cache-key canonicalization/separation, record versioning/corruption/truncation/symlink/owner/perms, lock serialization + release, two concurrent providers proving no `invalid_grant` and correct rotation, transient-failure retention, `invalid_grant` delete + reauthenticate, login/status/logout lifecycle, client-credentials no-op, IMDS rejection, secret redaction); Python lifecycle + a true two-subprocess cross-process reuse test (second process refreshes once, never hits the device endpoint); Node lifecycle + device-flow login test. Local builds were skipped in development; CI validates all bindings. --------- Co-authored-by: Xuanwo <github@xuanwo.io> |
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ffe94a65a1 |
fix(node): preserve optimize cleanup timestamp (#4160)
<!-- lance-gatekeeper-fix:v1 agent=278cb095b2e5d69051442bc254d803a6 generation=1 --> ## Summary - pass the TypeScript `cleanupOlderThan` date to the native binding as an unchanged epoch timestamp - prune with Lance's absolute `before_timestamp` policy so dispatch and compaction time cannot move the cutoff - retain versions created after the supplied cutoff and document that behavior - add boundary and end-to-end regression coverage ## Root cause The TypeScript layer converted the absolute date into an elapsed duration before calling native optimize. Lance converted that duration back into a timestamp only after compaction, which silently advanced the requested cutoff and made the cleanup count depend on a millisecond timing boundary. ## Validation - `cargo fmt --all` - `cargo clippy --quiet --features remote --tests --examples -p lancedb -p lancedb-nodejs` - `pnpm build` - `pnpm lint` - `pnpm run docs` - `pnpm test __test__/table.test.ts --runInBand` (309 passed) Fixes #4159 --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Co-authored-by: Xuanwo <github@xuanwo.io> |
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1da5876870 |
ci: add spell checking (#4148)
Adds [typos](https://github.com/crate-ci/typos) as a CI check and pre-commit hook, the same way Lance does it, so misspellings like the ones fixed in #4146 get caught automatically going forward. This also fixes the misspellings `typos` found across the repo (Rust, Python, TypeScript source, comments, and generated docs), and adds a small `.typos.toml` with `extend-words` entries for terms that are correct but look like typos: `AKS` (Azure Kubernetes Service), `RabitQ` (a real quantization algorithm name), `mmaped` (the actual name of a `candle-core` API we call), and `Writeable` (from Python's `_typeshed.WriteableBuffer`). Third-party license files are excluded. Fixes #4147 Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> |
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21f11b4463 |
feat!: replace get_job/job_history with describe_job/query_job_events (#4130)
A 1M-row column refresh over 200 fragments produced no visible result,
and the client could only ever say `"running"`. Everything needed to
diagnose it already existed server-side — the job registry records a
`claim`/`claim_complete` pair per fragment carrying `rows_processed` —
but none of it was reachable.
## Before
Four ways to ask about a job, none of which told you much.
```python
job = table.refresh_column_async("embedding")
job.status() # "running". That was the entire debug surface.
db.get_job(job_id) # state, and a spec. No result, no progress.
db.job_history(job_id) # raw record batches, no limit, no filter
db.job(job_id) # a handle that knew nothing
```
## After
Open a job the way you open a table; the handle answers everything.
```python
job = db.open_job(job_id) # raises JobNotFoundError if there is no such job
```
```python
>>> print(job)
Job(
id='job-1',
state='failed',
job_type='refresh_column',
creation_ms=1757000000000,
spec={
"column": "embedding",
"num_workers": 4
},
failure=JobFailureInfo(phase='execute', message='worker died', retryable=True),
)
```
Individual fields are there too — `job.state`, `job.job_type`,
`job.creation_ms`, `job.spec`, `job.result`, `job.failure` — and
`job.result` carries `rows_assigned` / `rows_failed` as soon as the job
succeeds, with no `wait()` required.
Per-fragment progress *while it is still running*:
```python
done = job.events(filter="state = 'claim_complete'", limit=10_000)
done.column("rows_processed").to_pylist() # [5000, 5000, ...]
```
The handle an async action returns is the same object, one `refresh()`
away:
```python
job = table.refresh_column_async("embedding")
job.refresh()
job.state, job.result
```
TypeScript is the same experience, down to `console.log`:
```ts
const job = await db.openJob(jobId); // rejects if there is no such job
console.log(job); // same multi-line layout
job.state; job.jobType; job.spec; job.result; job.failure;
const done = await job.events({ filter: "state = 'claim_complete'", limit: 10_000 });
```
## Why each piece matters
- **A result without waiting.** `rows_assigned` / `rows_failed` used to
live only on the terminal result, so a job that never terminated
reported nothing at all.
- **`limit`.** The server caps event rows at 1000 and truncates without
saying so, which silently hid most of a 200-fragment job's history.
- **`filter`.** `claim_complete` rows carry per-claim `rows_processed` —
the only progress signal that exists mid-flight.
- **Events outlive the worker.** They live in the job registry, not in
pod logs that vanish with the pod.
- **One place to ask.** `open_job` replaces `describe_job`,
`query_job_events` and `job`, so a question about a job has one answer
instead of one per calling location.
- **A missing job is an error, not a `None`.** The common case is a job
id copied out of a log, where absence is the surprise worth raising —
and it matches `open_table`.
- **Printing is the debug surface.** Every field on its own line, JSON
payloads keeping their structure. An unrefreshed handle stays on one
line, because there is nothing to lay out.
- **In-process jobs say so.** A local refresh reports `state` and leaves
the rest null rather than inventing fields it has no record for.
`list_jobs` and `cancel_job` stay as they were: one lists, the other is
a one-shot action that should not need a describe first.
## Breaking
All shipped in 0.38.0. No deprecated aliases.
| Was | Now |
| --- | --- |
| `Connection.get_job` → `describe_job` | `Connection.open_job` returns
a populated `Job`, or raises |
| `Connection.job_history` → `query_job_events` | `job.events(...)` |
| `Connection.job` | `Connection.open_job` |
| Python events → `List[pa.RecordBatch]` | `pa.Table` |
| `JobDescription.spec_json` / `.result_json` | internal; use `job.spec`
/ `job.result` |
Node's `Job` is now a TypeScript class wrapping the native handle, so it
returns an Arrow table and parsed values like Python does. New
`Error::JobNotFound` / `JobNotFoundError`; the three job exceptions are
now in the Python API reference.
|
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d118ef168b |
feat: record the source namespace in a materialized view definition (#4098)
A view definition recorded its source by bare name and refresh resolved that name at the root, so declaring a view over a namespaced source was refused outright -- materialized views were root-only for every caller. The definition now carries `source_namespace`, and refresh opens the source at that coordinate. `plan` takes the namespace too: refresh re-plans the stored definition and persists the result when it migrates, so defaulting it there would strand the view on its next rebuild. The stored kind is the version boundary. Root definitions keep the `select` form byte-for-byte, so everything written before this change reads exactly as it always did. A namespaced source is stored as `namespaced_select`: released readers drop unknown fields and resolve a `select` source at the root, so keeping the old kind would let a rolled-back worker refresh a view from a same-name root table -- the new kind routes them to their existing unrecognized-kind refusal instead. The Python and Node definition parsers learn the new kind alongside the Rust core. |
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ab74aa620c |
refactor(lsm): rename LSM stats to SSTable and table shard
Aligns the LSM stats surface with the MemWAL naming settled upstream in lance-format/lance#7943 and #7957, where the persisted unit became an SSTable. Two terms in this API predate that pass. **Generation -> SSTable.** A `GenerationStats` describes one flushed MemTable, which is an SSTable. The generation *number* is kept — an SSTable is identified by its generation — so only the noun moved. **Bucket -> table shard.** Each entry is one MemWAL shard. "Bucket" names only the hash sharding transform, so it was wrong for `identity` and `year` sharding, which produce shards and no buckets at all. | Before | After | |---|---| | `GenerationStats` | `SsTableStats` | | `BucketStats` | `TableShardStats` | | `LsmStats.buckets` | `LsmStats.table_shards` | | `BucketStats.generations` | `TableShardStats.sstables` | | `include_generation_rows` | `include_sstable_rows` | | `newest_generation` | `newest_sstable_generation` | | `outstanding_generations` | `outstanding_sstables` | Applied across Rust, Python, TypeScript, and Java, including the `get_lsm_stats` JSON field names. `LsmWriteSpec::Bucket` and `num_buckets` are unchanged — those name the sharding transform, not the shard. ## Compatibility Breaking for the MemWAL LSM stats API, which is experimental and paired with a server that renames the same fields. The JSON keys `table_shards` and `sstables` must roll out together with the WAL server change. ## Validation - `cargo check -p lancedb --all-features`, `cargo fmt --all` - `ruff format --check` and `ruff check` on the touched Python - `biome check` on the touched TypeScript The typedoc markdown under `docs/src/js` was updated by hand, not regenerated: `npm run docs` needs the napi-built `./native` types. Worth running `npm run docs` on this branch to confirm the generator agrees. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01HgVf5C2yRbwK6pe1aMYkmg |
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8b7e13b0c6 |
docs: add comments about metadata conventions (#4054)
In LanceDB Enterprise, we've adopted these conventions to give some "canonical" metadata paths. This lets us display them in a certain way in the UI or let agents standardize on them, to assume they'll find info in a certain place. This PR (only comments/docs) just documents those choices. |
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fce45ba9fc |
feat(nodejs): add listTables, deprecate tableNames (#4041)
`table_names` is being replaced by `list_tables` across the SDKs, but TypeScript only had `tableNames`. This PR adds `listTables`, which returns a page of table names together with the token that resumes after it, and marks `tableNames` and `TableNamesOptions` deprecated in favor of it. It binds the `Connection::list_tables` that already exists, so nothing in the Rust API changes and nothing existing breaks. `pageToken` is documented as opaque rather than as a table name, since what resumes a listing is the database's to decide — that keeps callers off a detail that is going to change. Stacked on #4040, which fixes a table being dropped at every page boundary. The page-walking test here needs that fix to pass. Review the last commit only until #4040 lands. ## Example ```ts const names = []; let pageToken = undefined; do { const page = await conn.listTables({ pageToken, limit: 100 }); names.push(...page.tables); pageToken = page.pageToken; } while (pageToken); ``` A namespace can be listed by passing its path first, mirroring `tableNames`: ```ts const page = await conn.listTables(["analytics"], { limit: 100 }); ``` Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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68749ecfa3 |
feat(nodejs): materialized view bindings (#3935)
Exposes materialized views to TypeScript: createMaterializedView,
openMaterializedView and listMaterializedViews on Connection, and a
MaterializedView handle carrying the parsed definition and
refresh({full, sourceVersion}), which returns the typed refresh result.
select accepts column names, [alias, expression] pairs, or a record of
the
same; the definition reads back off the stored schema, so a reopened
handle
needs no side channel. Remote connections surface the core's
not-supported
error up front.
The napi crate needed the same recursion-limit raise as the core crate:
the
refresh future's type graph overflows the default trait-recursion depth.
<sub>Stack created with <a
href="https://github.com/github/gh-stack">GitHub Stacks CLI</a> • <a
href="https://gh.io/stacks-feedback">Give Feedback 💬</a></sub>
|
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e98d8ac685 |
feat!: rename branch merge to cherry_pick (#3986)
This PR is a **breaking** rename of #3686. merge reads like git merge w/ three-way, replay history, combine two lines of work. That is not this API. This call takes one additive change on a branch and lands it on main. New column, including a blob column. Main's existing columns are not rewritten. If it cannot land, you get `status="failed"` and `diff.errors`, not a merge conflict to resolve. Cherry-pick is terminology that aligns more with that. ```python table = db.open_table("images") table.branches.create("exp") exp = table.branches.checkout("exp") exp.add_columns({"tag": "cast('draft' as string)"}) diff = table.branches.diff("exp") preview = table.branches.cherry_pick("exp", dry_run=True) result = table.branches.cherry_pick("exp") if result["status"] == "cherryPicked": print("landed at", result["mainVersionAfter"]) elif result["status"] == "failed": print(result["diff"]["errors"]) ``` ### Behavior - Remote / Enterprise only. Local still NotSupported. - HTTP 409 is not an exception. It is Ok with status="failed" and diff.errors (CherryPickError). - Unknown error / status codes still parse as Unknown. - Requests are not retried. 409 is final and carries the body. - Endpoint is POST /v1/table/{id}/branches/cherry_pick/. - merge_insert and Table.merge are unchanged. ### Testing - `cargo test -p lancedb --features remote diff_branch` - `cargo test -p lancedb --features remote cherry_pick` - `pytest python/python/tests/test_remote_db.py -k cherry_pick` - node `remote.test.ts` diffs / cherry-picks path |
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f1c4967eeb |
feat: bring the MemWAL LSM surface to parity across the SDKs (#3962)
## Why Four of the eight LSM methods are **remote-only in the core**. `impl BaseTable for NativeTable` implements only `set`/`unset`/`get_lsm_write_spec` and `close_lsm_writers`; `flush_lsm`, `compact_lsm` and `get_lsm_stats` fall through to trait defaults returning `NotSupported` (`rust/lancedb/src/table.rs:679,687,696`), and `checkpoint_lsm` is built on all three. That explains the state of the bindings: Node had bound the four that work against a local table and stopped, so a Cloud user could install an LSM write spec but had no way to observe fresh-tier state or drive a checkpoint. Java had none of it at all. | SDK | set/unset/get spec | closeWriters | flush | compact | getStats | checkpoint | |---|---|---|---|---|---|---| | Rust core | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Python | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Node *(before)* | ✅ | ✅ | — | — | — | — | | **Node (after)** | ✅ | ✅ | **new** | **new** | **new** | **new** | | Java *(before)* | — | — | — | — | — | — | | **Java (after)** | **new** | n/a | **new** | **new** | **new** | **new** | Go and C are separate repos and are out of scope here. `closeLsmWriters` drains cached in-process shard writers, so it has no meaning for Java, which is a pure REST client. ## Node Adds napi bindings for `flushLsm`, `compactLsm`, `checkpointLsm` and `getLsmStats`, plus typed `LsmStats` / `BucketStats` / `GenerationStats` / `MemtableStats` objects — typed rather than a JSON blob, matching the existing `LsmWriteSpec` object in the same file, with `u64` cast to `i64` per that file's convention. Because these four are remote-only, the new tests assert each binding reaches the core and surfaces `NotSupported` against a local table. That covers the wiring; behavior against a real endpoint stays covered by the mocked-endpoint tests in `rust/lancedb/src/remote/table.rs`. ## Python No new methods. All eight are on `LanceTable`, `AsyncTable` and `RemoteTable` — the last four landed on the sync `RemoteTable` in #3961, which is merged into this branch. What was missing here was reachability. `LsmWriteSpec` was importable only from the private `lancedb._lancedb`, appearing in `table.py` solely under `if TYPE_CHECKING:`, and `docs/src/python/python.md` had no mention of it, which per the repo's docs guidance means it rendered nowhere in the API reference. It is now `lancedb.LsmWriteSpec`, in `__all__`, and documented. ## Java Java reaches LanceDB purely over REST through the generated Lance Namespace client, and these routes are not in that spec, so they are issued through a small dedicated client rather than added to the spec. That call is revisitable — LSM is one of four unspecified route families alongside `multipart_write`, `page_cache/prewarm` and `branches/diff|merge`. If those are ever regularized into the spec as a group, `LanceDbTableLsm` is one file that gets deleted. `LsmWriteSpec` here is deliberately **not** `org.lance.memwal.InitializeMemWalParams`. That type defaults to maintaining *no* indexes where a spec here defaults to maintaining *every* index, and it cannot express the `null` that asks the server to resolve the set: | Value | On the wire | Meaning | |---|---|---| | unset (null) | `null` | Server resolves **every** maintainable index | | `Collections.emptyList()` | `[]` | Maintain **none** | | `Arrays.asList("id_idx")` | `["id_idx"]` | Exactly those | A dedicated test pins null and `[]` as distinct on the wire, since collapsing them is the failure mode that motivated a LanceDB-owned type. `checkpointLsm` is ported from `rust/lancedb/src/table/checkpoint.rs` with its constants and status semantics intact: 429/503 retried in place against an 8-budget, 421 restarting from flush against a 3-budget, 5s poll, and a target watermark fixed after the seal so it terminates under write load. `getLsmStats` returns typed `LsmStats` / `BucketStats` / `GenerationStats` / `MemtableStats`, mirroring the Rust structs in `rust/lancedb/src/table/lsm_stats.rs` and the objects Node exposes. Decoding is strict — see below. ## Review feedback Both gatekeeper findings were real. Each was reproduced against the scripted test server first, and each fix ships with the reproducer as a regression test. **The transport was doubling every checkpoint retry budget.** `HttpClients.createDefault()` installs Apache's default response retry strategy, whose retryable-status list is exactly 429 and 503 — the two statuses `isRetryable` owns. A 429 held against `flush_lsm` issued **18** wire requests where the loop intends 9, and `compact_lsm` was retried in place despite the loop being built to fall through to a fresh stats poll instead. Timing confirmed the mechanism: that run took 25.4s ≈ 16.3s of the loop's own backoff plus 9 × the transport's 1s retry interval. Automatic retries are now disabled, so the checkpoint loop is the sole owner of the 421/429/503 transitions. A side effect worth noting: `testCheckpointRetriesRetryableStatusInPlace` was passing on a transport-absorbed 429 and never reaching `issue()`'s retry branch at all. It now exercises the real path. **Stats decoding failed open.** `getLsmStats` read the response with Jackson's `path()`, which yields a missing node that iterates as an empty array — making "malformed" indistinguishable from "no buckets", which is indistinguishable from "drained". Four separate payloads made `checkpointLsm()` report convergence for a checkpoint that never ran: | Response | Before | Now | |---|---|---| | `{"lsm_stats": null}` or absent key | disabled ✓ | disabled ✓ | | `{"lsm_stats": {}}` | **reported success** | `IllegalStateException` | | empty response body | **reported success** | `IllegalStateException` | | bucket missing required fields | **reported success** | `IllegalStateException` | The empty-body row is the one to weight: a proxy 200 with no body is a realistic production event, and it silently reported a checkpoint that never happened. Decoding is now strict and fails closed, matching the serde contract on the Rust side exactly. One deliberate deviation from the review comment, which asked that *only* explicit JSON `null` count as disabled: Rust has `#[serde(default)]` on `lsm_stats`, so an **absent key** decodes to `None` there too. Java now matches that. It is an absent-or-malformed **`buckets`** that fails closed, which is the case the comment was actually protecting. ## Testing - Java: **33 passing** (8 existing + 25 LSM) against a scripted `com.sun.net.httpserver.HttpServer` — no new test dependency. Wire assertions mirror `rust/lancedb/src/remote/table.rs:6581-6748`; checkpoint tests cover convergence, not piling onto a latched bucket, 421 restart-from-flush, 429 retry-in-place, terminal-status propagation, reissue exhaustion, the exact wire-request count against the retry budget, and five malformed stats payloads. - Node: **19 LSM tests passing**; `cargo check`, `npm run build`, `npm run tsc`, `npm run lint`, `npm run docs` all clean. - Python: `ruff format --check` and `ruff check` clean. - Java formatting: `./mvnw -pl lancedb-core spotless:apply` and `spotless:check` both clean under a JDK 11 toolchain. ## Note: spotless needs a pre-16 JDK `./mvnw spotless:apply` fails on JDK 16+ with `JCTree$JCImport.getQualifiedIdentifier()` — google-java-format 1.7, pinned at `java/pom.xml:34`, predates JDK 16's compiler API change. **This is pre-existing** and reproduces on a pristine `main` checkout. It is not a blocker, just a toolchain requirement. Spotless was run against these sources under JDK 11 and both `spotless:apply` and `spotless:check` pass on the whole module: ```shell JAVA_HOME=/path/to/jdk11 ./mvnw -pl lancedb-core spotless:apply ``` Bumping the plugin so it works on modern JDKs is still worth doing, but separately from this PR. 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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fc0d917d32 |
feat: refresh computed columns (#3938)
table.refresh_column("doubled") fills the rows of a declared column that
hold no value, in two passes per fragment: the first scans only the
unfilled
live rows to count exact gains and decide staging, the second streams
the
fragment's physical rows into a standalone column file published in one
DataReplacement -- committed under the dataset's own session -- so peak
memory is bounded by a scan batch. A row that holds a value keeps it;
deleted and already-filled rows never reach the expression, so a poison
value in them cannot fail the refresh. Refresh refuses under an LSM
write
spec, including the mem-wal catch-up flag that outlives unset and marks
retained SSTable rows.
---
<sub>Stack created with <a
href="https://github.com/github/gh-stack">GitHub Stacks CLI</a> • <a
href="https://gh.io/stacks-feedback">Give Feedback 💬</a></sub>
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77a93fee76 |
fix: get table size from metadata, not files (#3790)
Some issues: - file_size_bytes is optional in the manifest, so if it's not there (old writer I guess) it'll under-report the table size. - it changes results a little bit from the old way by including per-file footers and metadata (probably not a big difference at real scale) --------- Co-authored-by: Will Jones <willjones127@gmail.com> |
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706a9c327f |
feat: infer maintained indexes when an LsmWriteSpec omits them (#3748)
## What `LsmWriteSpec::maintained_indexes` becomes `Option<Vec<String>>`: | value | meaning | |---|---| | `None` (new default) | every index the MemWAL supports, resolved when the spec is installed | | `Some([])` | maintain nothing — a scan/filter-only WAL table | | `Some([..])` | exactly these, taken verbatim | `with_maintained_indexes` keeps its signature; `with_no_maintained_indexes()` is new. Surfaced through the remote path (null on the wire), Python, and Node. ## Why Callers had to state the maintained set by hand every time, which is both tedious and easy to get wrong — the common case is "maintain what I already built." Resolution filters on `IndexConfig::is_memwal_maintainable`, delegating to lance's `is_maintainable_index_type`. This is load-bearing rather than cosmetic: lance does **not** skip an index type its memtable cannot build, it errors when the shard writer opens, so sweeping up a bitmap index would fail every memtable claim and leave the table unwritable. The inferred set excludes those, and an explicit list naming one is now rejected at spec time instead of at claim time. ## Behavior change A freshly constructed spec used to maintain **nothing**; it now maintains **everything supported**. This flipped because napi collapses `undefined` and `null` to `None`, so TypeScript cannot express "absent means nothing, null means all" — any other choice makes the bindings disagree with the wire. The error direction also favors it: an unwanted maintained index costs memory, while a silently unmaintained one degrades FTS to an unscored scan. Three existing tests encoded the old default and are updated rather than worked around. ## Caveat The resolved set is a snapshot, not a subscription. An index created after the spec is installed is not maintained until the spec is unset and set again. `get_lsm_write_spec` therefore always reports a concrete list — `None` never round-trips. ## Dependency Needs a lance release carrying `is_maintainable_index_type` (lance-format/lance#8095) before this builds against the pinned tag. Draft until then. ## Testing 38 Rust LSM tests and 10 Python tests pass against a local lance build, including new coverage that a bitmap index is excluded from inference and rejected when named, and that `[]` stays distinguishable from null on the wire. 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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e3b472c212 |
feat: connection-level job operations (#3755)
Adds job operations to the connection surface, building on the Job handle from #3742: job(id), list_jobs, get_job, cancel_job, and job_history, plus a non-blocking Job.status(). Implemented on the Database trait (defaulting to NotSupported), the remote backend (/v1/jobs), and the Python and Node bindings; job_history returns Arrow batches. errors() and progress() are not included. Tested with mocked endpoints in all three languages. --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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f7feed48c3 |
feat(fts): support custom stop-word lists (#3734)
## What Expose custom FTS stop-word lists in the Python and TypeScript public APIs, including their standalone tokenize helpers and remote index creation. This PR supports concrete string lists only. It does not add file or LanceDB-table stop-word sources. ## Why Rust already exposes Lance's custom stop-word list option. The Python and TypeScript APIs did not pass it through, and local index details did not retain the full tokenizer parameters needed by index-backed tokenization after reopening a table. ## How - Add `custom_stop_words` / `customStopWords` to the Python and TypeScript FTS and tokenize options. - Preserve `None` / `undefined`, empty lists, and list contents without normalization. - Load the persisted FTS segment parameters when returning local index details. - Serialize the concrete list in remote create-index requests. - Keep Python and TypeScript tests thin; behavior, persistence, query tokenization, and remote JSON coverage live primarily in Rust. ## Validation - `cargo check --quiet --features remote --tests --examples` - `cargo clippy --quiet --features remote --tests --examples` - `cargo test --quiet --features remote --tests` - Python extension rebuild with `uv` and `maturin` - Targeted Python tests: 4 passed - Python `ruff format --check` and `ruff check` - TypeScript build, typecheck, Biome lint, generated docs, and targeted tests --------- Co-authored-by: Yang Cen <yangcen@Yangs-Mac-mini.local> |
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9dc5ec03aa |
feat(fts): add block size configuration (#3691)
## What changed - add `block_size` to Python FTS configuration and the deprecated local/remote helpers - add `blockSize` to the TypeScript FTS options and propagate it through the NAPI binding - serialize the value as `block_size` for remote index creation - document the existing Rust builder API and generate the TypeScript API reference - add local, remote, metadata, search, and invalid-value regression coverage ## Why Lance supports configuring the number of documents per compressed FTS posting block, but LanceDB's Python and TypeScript APIs did not expose the setting. This made the experimental FTS V3 layout unavailable through those clients and allowed the value to be dropped before index creation. ## How it works The default remains `128`. Supported values are `128` and `256`; selecting `256` uses the experimental FTS V3 format. Invalid values are rejected by the Lance builder and surfaced as Python or JavaScript errors. ## Validation - `cargo check --quiet --features remote --tests --examples` - `cargo +1.94.0 clippy --quiet --features remote --tests --examples -- -D warnings` - targeted Rust local and remote index tests - Rust doctests: 34 passed - Python Ruff checks, doctest, and targeted local/remote tests: 5 passed - TypeScript build, Biome lint, generated docs, and targeted Jest tests: 9 passed - `git diff --check` ## Limitations The Java client remains unchanged because its external remote REST model does not currently expose `block_size`. Co-authored-by: Yang Cen <yangcen@Yangs-Mac-mini.local> |
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65cd142c7e |
feat: add remote branch diff and merge client APIs (#3686)
This PR adds some support for `diff` / `merge` in the remote client as for local tables we stay `NotSupported` until https://github.com/lance-format/lance/issues/7263. This wires the two review-and-land calls against the remote REST API: - `POST /v1/table/{id}/branches/diff` - `POST /v1/table/{id}/branches/merge` Rust gets typed results (`BranchDiff`, `MergeBranchResult`). Python returns the wire JSON, same shape as the REST response. Merge here means promoting a branch's added columns onto `main`. ### Behavior - Remote only. Local raises `NotSupported`. - A rejected merge is not an exception. HTTP 409 still returns `Ok` / a dict with `status="rejected"` and blockers in `diff.mergeBlockers`. - Unknown blocker / status codes parse as `Unknown` so a newer server does not break older clients. - `MergePreview` tolerates missing fields for the same reason. - Merge requests are not retried. 409 is final and carries the body you need. ### Example ```python table = db.open_table("images") table.branches.create("exp") exp = table.branches.checkout("exp") exp.add_columns({"tag": "cast('draft' as string)"}) diff = table.branches.diff("exp") preview = table.branches.merge("exp", dry_run=True) result = table.branches.merge("exp", dry_run=False) if result["status"] == "merged": print("landed at", result["mainVersionAfter"]) elif result["status"] == "rejected": print(result["diff"]["mergeBlockers"]) ``` ### Testing cargo test -p lancedb --features remote diff_branch cargo test -p lancedb --features remote merge_branch --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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06b53c97d6 |
feat: add table FTS query tokenization (#3659)
## Summary - add table-level FTS query tokenization returning token text and position - use the native index tokenizer for local tables and remote index metadata for remote tables - expose sync and async Python table wrappers with focused coverage |
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c6db80dd0b |
feat: add an elastic dataloader as an iterable dataset (#3509)
# Elastic Streaming Dataloader ## Motivation Training large models on LanceDB tables today requires loading the entire dataset into memory or writing bespoke batching logic. This PR introduces `StreamingDataset`, a PyTorch `IterableDataset` that streams directly from a LanceDB table with two hard guarantees that are difficult to achieve together: **elastic determinism** and **resumability**. ## Goals ### Elastic determinism The dataset partitions the table into a fixed number of *splits* (controlled by `num_splits`, `shuffle_seed`, and `epoch`). Samples are yielded by round-robining over splits one sample per split per cycle. Because the split structure is fixed, the set of samples that makes up each global training step is identical regardless of `world_size` or `num_workers`. You can scale your cluster up or down between runs and the model sees the same data in the same order — no re-sharding, no gradient variance from topology changes. ### Resumability `state_dict()` / `load_state_dict()` capture how many samples each split has consumed. Because all splits are the same size and the round-robin design keeps them in lockstep, the state reduces to a single scalar (`samples_consumed_per_split`) that is topology-independent. A checkpoint saved with 8 GPUs can resume correctly on 4 GPUs or 16 GPUs without any adjustment. ### PyTorch `IterableDataset` / streaming `StreamingDataset` implements the standard PyTorch `IterableDataset` interface, so it drops into any existing `DataLoader` pipeline without modification. Data is fetched lazily from Lance in chunks — only the rows needed for the current batch are ever in memory. Compared to the map dataset this takes more work from pytorch and puts it into the dataset itself (e.g. shuffling, filtering, etc.). We do this because we cannot achieve things like elastic determinism or prefiltering otherwise. ### Multi-worker support DataLoader workers are automatically assigned contiguous sub-blocks of splits (the rank's splits are divided evenly across workers). Each worker is independent: no shared state, no inter-process coordination. The only constraint is that `num_splits` must be divisible by `world_size * num_workers`. That being said, multi-worker is highly discouraged as it relies on multiprocessing which is inefficient. Still, we want to support it. ### Filters as prefilters Filters are applied at *permutation-build time* via `PermutationBuilder.filter()`, not re-evaluated on every fetch. The filtered row IDs are stored in the permutation table so that subsequent reads see only the matching rows. This allows us to avoid loading rows that don't match the filter (which is the default pytorch behavior) ### Prefetching Two parameters control the I/O pipeline: - `read_batch_size` (default 64) — number of rows fetched per `take_offsets` call. Larger values amortise per-request overhead, which is critical on object storage where a single round-trip can cost ~100 ms. - `prefetch_batches` (default 4) — number of batches prefetched in parallel per split via a `ThreadPoolExecutor`. While the model processes the current batch, the next several batches are already in flight, hiding storage latency behind compute. If set correctly then you can get good performance even with num_workers=0 (unless you are bottlenecked on transform). ### Transform parallelism The underlying `Permutation` API supports a `with_transform()` callback for decoding, augmentation, and format conversion. Unfortunately, this is not parallelized. Pytorch typically parallelizes this with num_workers which is multiprocessing which is highly inefficient. For simple transforms we should be able to utilize multithreading and Rust based UDFs. For complex python UDFs we could have a dedicated multiprocessing pipeline for just the transform. Or we could just utilize multithreading. In both cases we would exclude the I/O stage from the multiprocessing because that ends up being very memory hungry and inefficient. --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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10fecdf051 |
feat(node): expose OAuth connection config (#3587)
Expose the merged Rust OAuth header provider through the Node/TypeScript connection path. Includes: - Native OAuthConfig conversion for napi-rs - ConnectionOptions.oauthConfig plumbing - Public TypeScript OAuthConfig and OAuthFlowType exports - Generated TypeScript API docs for the new config surface - input-validation and debug-redaction coverage in the Rust binding layer Local validation: cargo fmt --all; git diff --check. |
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f8caef3aca |
feat(bindings): expose new IndexConfig fields in Python and Node.js (#3534)
## Summary Surfaces the rich per-index metadata added in #3497 to the Python and Node.js language bindings. Closes #3495. New optional fields exposed on `IndexConfig` in both bindings: - `index_uuid` / `indexUuid` — UUID of the first index segment - `type_url` / `typeUrl` — protobuf type URL for the index - `created_at` / `createdAt` — creation timestamp (milliseconds since Unix epoch) - `num_indexed_rows` / `numIndexedRows` — rows covered by the index - `num_unindexed_rows` / `numUnindexedRows` — rows not yet indexed - `size_bytes` / `sizeBytes` — total index file size in bytes - `num_segments` / `numSegments` — number of index segments - `index_version` / `indexVersion` — on-disk format version - `index_details` / `indexDetails` — type-specific JSON details string All fields are `None`/`undefined` for remote tables (which don't yet surface this metadata through the server response). ## Changes - `python/src/index.rs`: extend `IndexConfig` pyclass; update `From` impl; update `__getitem__` - `python/python/lancedb/_lancedb.pyi`: add type hints for new fields - `python/python/tests/test_table.py`: new `test_index_config_fields` test - `nodejs/src/table.rs`: extend `IndexConfig` napi struct; update `From` impl - `nodejs/__test__/table.test.ts`: new test; update existing `toEqual` assertions to `expect.objectContaining` to accommodate new fields ## Test plan - [x] Python: `uv run --extra tests pytest python/tests/test_table.py::test_index_config_fields` - [x] Node.js: `pnpm test __test__/table.test.ts` 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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d9018067b3 |
feat: support checking out a version on a branch (#3504)
### Description Stacked on #3490. Adds an optional version to branch checkout across the Rust core and the Python and TypeScript SDKs, so you can open a specific version on a branch ("version V of branch B"), not just the branch's latest version Rust ```rust // Open version 3 of branch "exp" (a read-only view): check out from an // existing table, or open it directly from the connection. let exp_v3 = table.checkout_branch("exp", Some(3)).await?; let exp_v3 = db.open_table("items").branch("exp").version(3).execute().await?; // checkout_latest re-attaches to the branch's writable HEAD. exp_v3.checkout_latest().await?; // With no branch, a version opens main at that version. let main_v3 = db.open_table("items").version(3).execute().await?; ``` Python ```python # Open version 3 of branch "exp" (a read-only view): check out from an # existing table, or open it directly from the connection. branch_v3 = await table.branches.checkout("exp", version=3) branch_v3 = await db.open_table("items", branch="exp", version=3) # checkout_latest re-attaches to the branch's writable HEAD. await branch_v3.checkout_latest() # With no branch, a version opens main at that version. main_v3 = await db.open_table("items", version=3) ``` TypeScript ```typescript // Open version 3 of branch "exp" (a read-only view): check out from an // existing table, or open it directly from the connection. const branchV3 = await (await table.branches()).checkout("exp", 3); const opened = await db.openTable("items", undefined, { branch: "exp", version: 3 }); // checkoutLatest re-attaches to the branch's writable HEAD. await branchV3.checkoutLatest(); // With no branch, a version opens main at that version. const mainV3 = await db.openTable("items", undefined, { version: 3 }); ``` ### Testing - Added unit tests (Rust, Python sync + async, TypeScript): branch-scoped resolution at a version number shared with `main` and with another branch, read-only enforcement on a pinned handle, `checkout_latest` recovery to the branch's HEAD, fork-point reads, and the nonexistent-version/branch error paths. - Ran smoke tests against the Python and TypeScript SDKs on local machine. |
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53517b3aaa |
feat: add table branch support (#3490)
### Description
Adds first-class support for table branches across the Rust core and the
Python and TypeScript SDKs.
Rust
```rust
use lance::dataset::refs::Ref;
// Create a branch from main and write to it — main is untouched.
let exp = table.create_branch("exp", Ref::Version(None, None)).await?;
exp.add(batches).await?;
// Reopen the branch later: check out from a table, or open it directly.
let exp = table.checkout_branch("exp").await?;
let exp = db.open_table("items").branch("exp").execute().await?;
let branches = table.list_branches().await?;
table.delete_branch("exp").await?;
```
Python
```python
# Create a branch from main and write to it
branch = await table.branches.create("exp", from_ref="main")
await branch.add(data)
# Reopen the branch later: check out from a table, or open it directly.
branch = await table.branches.checkout("exp")
branch = await db.open_table("items", branch="exp")
await table.branches.list()
await table.branches.delete("exp")
```
TypeScript
```typescript
const branches = await table.branches();
// Create a branch from main and write to it
const branch = await branches.create("exp");
await branch.add(data);
// Reopen the branch later: check out from a table, or open it directly.
const checkedOut = await branches.checkout("exp");
const opened = await db.openTable("items", undefined, { branch: "exp" });
await branches.list();
await branches.delete("exp");
```
### Testing
- Added unit tests
- ran smoke tests against python and typescript sdks on local machine
### Next steps
- Add RemoteTable support
- Add Branch Comparison support
- Merge Branching support
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09b1bbc12a |
refactor!: drop unused loss field from IndexStatistics (#3496)
BREAKING CHANGE: direct Rust users lose the `IndexStatistics::loss` field. Python and Node.js consumers are unaffected in practice for remote tables (the value was always `None`/absent), but the attribute is gone for local tables too. `IndexStatistics::loss` was local-only — LanceDB Cloud never returned it, so `RemoteTable::index_stats` always set `loss: None`. It's vestigial; this removes it. - Remove `loss` from `IndexStatistics` and the internal `IndexMetadata` in `rust/lancedb/src/index.rs`, plus the summing logic in `NativeTable::index_stats`. - Drop `loss` from the Python and Node.js bindings (and their tests/docs). Fixes #3493 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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d065be0474 |
feat: add update_field_metadata to edit per-field metadata (#3482)
### Summary Adds update_field_metadata to the client SDK (Rust core, Python, and TypeScript) so clients can edit per-field (column) Arrow metadata (schema.fields[].metadata) ### Testing - added unit tests - ran E2E against a local server on both local and remote tables (set → merge → delete), across Python sync/async and TypeScript ### Next steps - deprecate replace_field_metadata in the python lancedb favor of this (typescript didn't have replace_field_metadata method). This matches Lance's API direction (Lance already deprecated replace_field_metadata for update_field_metadata) |
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048f52c2aa |
feat(table): route merge_insert through the MemWAL LSM write path (#3354)
## Summary When an `LsmWriteSpec` is installed on a table (#3396), `merge_insert` upsert calls are dispatched through Lance's MemWAL `ShardWriter` (LSM-style append) instead of the standard merge path. - **`use_lsm_write`** — a `merge_insert` builder option, default `true`; set it `false` to use the standard path for a call even when a spec is set. - **`assume_pre_sharded`** — a `merge_insert` builder option, default `false`; skips the per-row shard check and routes by the first row only. - **`close_lsm_writers`** — drains and closes the table's cached MemWAL shard writers. - The `merge_insert` **`on`** columns default to, and are validated against, the table's unenforced primary key. - Shard writers are cached alongside the dataset (in `DatasetConsistencyWrapper`) and reused for the session. - `MergeResult` gains **`num_rows`** — on the LSM path the insert/update breakdown is unknown until compaction, so only the total is reported. Routing covers all three sharding strategies — bucket (murmur3, Iceberg-compatible), identity, and unsharded. Each `merge_insert` call targets a single shard; the whole input is collected and validated before a single atomic `ShardWriter::put`, so a validation failure leaves the MemWAL untouched. Bindings: Python (`merge_insert(...).use_lsm_write(...)` / `.assume_pre_sharded(...)`, `Table.close_lsm_writers`) and TypeScript (`mergeInsert(...).useLsmWrite(...)` / `.assumePreSharded(...)`, `Table.closeLsmWriters`). ## Context Reconstructed from the original #3354 branch onto current `main`: the branch predated the #3394 (unenforced primary key) / #3396 (`LsmWriteSpec`) split and has been rebuilt on that merged foundation. Depends on Lance `v7.0.0-beta.13`. The MemWAL read path (reading un-flushed shard data back into queries) and remote (LanceDB Cloud) LSM support are follow-ups. --------- Co-authored-by: Jack Ye <yezhaoqin@gmail.com> |
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15e75804c4 |
feat(remote): send read freshness headers for remote table consistency (#3439)
Closes client side work of #3370 ### Summary - Plumbs `read_consistency_interval` from `ConnectBuilder` through `RestfulLanceDbClient` so remote reads attach an `x-lancedb-min-timestamp` freshness header. None = no header (default), zero = "now", positive = `now - interval`. - Adds per-table `FreshnessState` on `RemoteTable`: write responses (`update`, `delete`, `merge_insert`, `add_columns`, `alter_columns`, `drop_columns`) track the committed version, and the next read sends `x-lancedb-min-version` so the server's cache honors read-your-write. - `checkout(v)` / `checkout_tag(t)` / `checkout_latest()` / `restore()` reset the freshness state appropriately; the validating `/describe/` and tag-resolve requests are sent without freshness headers so they don't carry stale state. - Updates Rust, Python, and Node docstrings and calls out that stronger consistency raises per-read latency and cost. ### Testing - Unit tests cover default behavior, interval=0, positive interval, checkout_latest baseline, min_version-after-write, checkout clears state, and the two no-stale-header invariants on `checkout(v)` and `checkout_tag(t)`. - Ran smoke tests against local remote table to verify functionality |
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4cb9147bbf |
feat(nodejs): add renameTable on Connection (#3386)
Adds `Connection.renameTable` to the Node SDK. Closes #3381. |
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049b0c8f09 |
feat(nodejs): add progress to Table.add (#3398)
### Summary
- Add an optional `progress` callback to `Table.add(data, { progress
})`. Callback fires once per batch written and once more with `done:
true` when the write completes.
- Errors thrown from the user's callback are logged with `console.warn`
and swallowed
### Testing
- npm test
- ran smoke test script to verify functionality
|
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0d30b31998 |
feat: support setting LSM write spec for a table (#3396)
## Summary Split out from #3354 Adds `LsmWriteSpec` and `Table::set_lsm_write_spec` / `unset_lsm_write_spec` to install and clear the spec that selects Lance's MemWAL LSM-style write path for `merge_insert`. `LsmWriteSpec` offers three sharding strategies, all built on Lance's `InitializeMemWalBuilder`: - `LsmWriteSpec::bucket(column, num_buckets)` — hash-bucket sharding by the single-column unenforced primary key. - `LsmWriteSpec::identity(column)` — identity sharding by the raw value of a scalar column. - `LsmWriteSpec::unsharded()` — a single MemWAL shard. Each can be refined with `with_maintained_indexes(...)` (indexes the MemWAL keeps up to date as rows are appended) and `with_writer_config_defaults(...)` (default `ShardWriter` configuration recorded in the MemWAL index, so every writer starts from the same defaults). All variants require the table to have an unenforced primary key. - `set_lsm_write_spec` installs the spec by initializing the MemWAL index; `unset_lsm_write_spec` removes it (dropping the MemWAL index), reverting to the standard `merge_insert` path. `unset` is idempotent. - Bindings: Python (`LsmWriteSpec.bucket` / `.identity` / `.unsharded`, `set_lsm_write_spec` / `unset_lsm_write_spec`) and TypeScript (`setLsmWriteSpec` with `specType` `"bucket"` / `"identity"` / `"unsharded"`). `RemoteTable` returns `NotSupported`. The actual `merge_insert` LSM dispatch and `ShardWriter` write path are a follow-up — this PR only installs and clears the spec. |